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10.1 Molecular Diffusion, Fick's Laws, and Equimolar Counterdiffusion

Key Takeaways

  • Fick's first law distinguishes diffusive flux relative to the molar-average velocity (J_A* = -C * D_AB * dx_A/dz) from absolute molar flux relative to stationary coordinates (N_A = x_A * (N_A + N_B) - C * D_AB * dx_A/dz), where the first term represents convective bulk drift and the second represents molecular diffusion.

  • In Equimolar Counterdiffusion (EMCD, N_B = -N_A), the convective bulk drift term vanishes identically (N_A + N_B = 0), producing a strictly linear partial pressure profile and integrated flux N_A = D_AB * (P_A1 - P_A2) / (R * T * z) = C * D_AB * (y_A1 - y_A2) / z.

  • In diffusion of A through stagnant, non-diffusing B (N_B = 0, such as evaporation or gas absorption), the convective drift flux augments molar transport by the log-mean factor: N_A = (D_AB * P / (R * T * z * P_B,lm)) * (P_A1 - P_A2), where P_B,lm = (P_B2 - P_B1) / ln(P_B2 / P_B1); because P / P_B,lm > 1.0, stagnant diffusion flux always exceeds EMCD flux for identical terminal partial pressures.

  • Diffusivity scaling laws differ fundamentally by phase: gas diffusivities scale as T^1.75 / P (via the Fuller-Schettler-Giddings correlation) with typical magnitudes of 10^-5 to 10^-4 m²/s, whereas liquid diffusivities scale as T / mu (via the Wilke-Chang correlation) with typical magnitudes of 10^-10 to 10^-9 m²/s—roughly four orders of magnitude slower.

  • Knudsen diffusion governs transport in microporous catalysts when the pore diameter is significantly smaller than the molecular mean free path (Knudsen number Kn = lambda / d_pore > 10), yielding D_K,A = (d_pore / 3) * sqrt(8 * R * T / (pi * M_A)), which is completely independent of total system pressure.

Last updated: September 2026

10.1 Molecular Diffusion, Fick's Laws, and Equimolar Counterdiffusion

On the NCEES PE Chemical Exam, mass transfer fundamentals provide the analytical bedrock for rating and sizing distillation columns, gas absorbers, liquid-liquid extractors, and membrane separators. While fluid mechanics dictates the macroscopic convective flow of process streams, separation at the phase boundary or within stagnant boundary layers is ultimately constrained by molecular diffusion—the spontaneous transport of individual chemical species down a gradient of chemical potential or concentration resulting from random thermal molecular motion.


1. Physical Foundations of Diffusion and Reference Frames

To analyze mass transport rigorously, chemical engineers distinguish between two coordinate reference frames:

  1. A reference frame moving with the molar-average velocity of the fluid mixture (v∗v^*). In this moving frame, mass transport occurs purely by molecular diffusion.
  2. A fixed laboratory coordinate reference frame (stationary observer). In this frame, mass transport represents the vector sum of bulk convective flow (drift) plus molecular diffusion.
+---------------------------------------------------------------------------------+
|                      TOTAL MOLAR FLUX IN FIXED COORDINATES                      |
|                                                                                 |
|        N_A         =          x_A * (N_A + N_B)         -   C * D_AB * dx_A/dz  |
|         ^                            ^                               ^          |
|   [Total Molar Flux]       [Convective Bulk Drift]          [Molecular Diffusion]|
|  (relative to fixed     (carried by net bulk motion        (Fick's First Law relative|
|     coordinates)          of all diffusing species)         to molar-average velocity)|
+---------------------------------------------------------------------------------+

Molar-Average Velocity and Diffusive Flux (JA∗J_A^*)

For a binary mixture composed of species AA and BB, let uAu_A and uBu_B be the absolute linear velocities of the respective species in the zz-direction relative to a fixed stationary boundary. The absolute molar fluxes relative to stationary coordinates are:

NA=CAuA,NB=CBuBN_A = C_A u_A, \quad N_B = C_B u_B

Where:

  • NA,NBN_A, N_B = molar fluxes relative to fixed coordinates (kmol/(m2⋅s)\text{kmol/(m}^2\cdot\text{s)} or lbmol/(ft2⋅hr)\text{lbmol/(ft}^2\cdot\text{hr)}).
  • CA,CBC_A, C_B = molar concentrations of species AA and BB (kmol/m3\text{kmol/m}^3 or lbmol/ft3\text{lbmol/ft}^3).
  • C=CA+CBC = C_A + C_B = total molar concentration of the mixture.
  • xA=CA/C,xB=CB/Cx_A = C_A / C, \quad x_B = C_B / C = mole fractions (xA+xB=1.0x_A + x_B = 1.0).

The mixture molar-average velocity (v∗v^*) is defined as:

v∗=CAuA+CBuBC=xAuA+xBuB=NA+NBCv^* = \frac{C_A u_A + C_B u_B}{C} = x_A u_A + x_B u_B = \frac{N_A + N_B}{C}

The diffusive molar flux of species AA relative to the moving molar-average velocity frame is denoted JA∗J_A^* and is governed by Fick's First Law of Diffusion:

JA∗=CA(uA−v∗)=−CDABdxAdzJ_A^* = C_A (u_A - v^*) = -C D_{AB} \frac{dx_A}{dz}

Where:

  • DABD_{AB} = binary molecular diffusivity of species AA diffusing through species BB (m2/s\text{m}^2/\text{s} or ft2/hr\text{ft}^2/\text{hr}).
  • In a binary system, thermodynamics and continuity dictate that DAB=DBAD_{AB} = D_{BA} and JA∗+JB∗=0J_A^* + J_B^* = 0.

The General 1-D Absolute Molar Flux Equation

Substituting v∗=(NA+NB)/Cv^* = (N_A + N_B)/C into the definition of JA∗J_A^* yields:

NA=CAv∗+JA∗=xA(NA+NB)−CDABdxAdzN_A = C_A v^* + J_A^* = x_A (N_A + N_B) - C D_{AB} \frac{dx_A}{dz}

For an ideal gas phase, where C=P/(RT)C = P / (R T), xA=yA=pA/Px_A = y_A = p_A / P, and CA=pA/(RT)C_A = p_A / (R T):

NA=yA(NA+NB)−DABRTdpAdzN_A = y_A (N_A + N_B) - \frac{D_{AB}}{R T} \frac{dp_A}{dz}

Where:

  • PP = total system absolute pressure (kPa\text{kPa}, bar\text{bar}, or atm\text{atm}).
  • pAp_A = partial pressure of species AA (kPa\text{kPa}, bar\text{bar}, or atm\text{atm}).
  • RR = universal gas constant (8.31446 J/(mol⋅K)=8.31446 kPa⋅m3/(kmol⋅K)=0.082057 L⋅atm/(mol⋅K)8.31446\text{ J/(mol}\cdot\text{K)} = 8.31446\text{ kPa}\cdot\text{m}^3/(\text{kmol}\cdot\text{K)} = 0.082057\text{ L}\cdot\text{atm}/(\text{mol}\cdot\text{K)}).
  • TT = absolute thermodynamic temperature (K\text{K} or ∘R^\circ\text{R}).

Important

Bulk Drift vs. Diffusion:
The term yA(NA+NB)y_A (N_A + N_B) represents convective mass transport induced by net volumetric movement (bulk drift) toward or away from the interface. If species AA and BB diffuse at unequal molar rates, a pressure gradient will temporarily develop, establishing a bulk hydrodynamic flow that equalizes the total mechanical pressure. Fickian diffusion −CDAB(dxA/dz)-C D_{AB} (dx_A/dz) operates superimposed on this bulk drift.


2. Equimolar Counterdiffusion (EMCD)

Defining Characteristics

Equimolar Counterdiffusion (EMCD) occurs when one mole of species AA diffuses in the positive zz-direction while exactly one mole of species BB diffuses in the opposite direction:

NB=−NA  ⟹  NA+NB=0N_B = -N_A \implies N_A + N_B = 0

Industrial and Physical Examples

  1. Binary Distillation of Similar Compounds: When latent heats of vaporization are approximately equal (ΔHvap,A≈ΔHvap,B\Delta H_{vap,A} \approx \Delta H_{vap,B}), the condensing vapor of the less volatile component releases precisely enough latent heat to vaporize an equimolar quantity of the more volatile liquid component from the tray.
  2. Diffusion Between Two Connected Gas Vessels: Two large vessels maintained at identical total pressure and temperature containing different gases connected by a narrow capillary tube.

Derivation of EMCD Flux and Concentration Profile

Because NA+NB=0N_A + N_B = 0, the bulk convective drift term collapses to zero:

NA=−CDABdxAdz=−DABRTdpAdzN_A = -C D_{AB} \frac{dx_A}{dz} = -\frac{D_{AB}}{R T} \frac{dp_A}{dz}

At steady state with no chemical reactions, species conservation requires that dNA/dz=0d N_A / dz = 0. For an ideal gas at constant temperature and pressure, CC and DABD_{AB} are constant. Separating variables and integrating across a stagnant boundary layer of thickness z=z2−z1=δz = z_2 - z_1 = \delta:

∫z1z2NAdz=−DABRT∫pA1pA2dpA\int_{z_1}^{z_2} N_A dz = -\frac{D_{AB}}{R T} \int_{p_{A1}}^{p_{A2}} dp_A NA⋅(z2−z1)=−DABRT(pA2−pA1)=DABRT(pA1−pA2)N_A \cdot (z_2 - z_1) = -\frac{D_{AB}}{R T} (p_{A2} - p_{A1}) = \frac{D_{AB}}{R T} (p_{A1} - p_{A2}) NA=DABRTz(pA1−pA2)=CDABz(yA1−yA2)\mathbf{N_A = \frac{D_{AB}}{R T z} (p_{A1} - p_{A2}) = \frac{C D_{AB}}{z} (y_{A1} - y_{A2})}

Integrating from z=0z = 0 to an arbitrary distance zz demonstrates that the partial pressure profile under EMCD is strictly linear:

pA(z)=pA1−(pA1−pA2z2−z1)zp_A(z) = p_{A1} - \left( \frac{p_{A1} - p_{A2}}{z_2 - z_1} \right) z
   Partial Pressure (p_A) ^
                      p_A1 |* 
                           |  * 
                           |    *  <--- Strictly Linear Profile (EMCD)
                           |      * 
                      p_A2 |________*_________
                           0                 z (Distance)

3. Diffusion of A Through Stagnant, Non-Diffusing B (NB=0N_B = 0)

Defining Characteristics

In many separation units, one component moves while the surrounding carrier medium remains stationary:

NB=0  ⟹  NA+NB=NAN_B = 0 \implies N_A + N_B = N_A

Industrial and Physical Examples

  1. Stefan Tube Evaporation: Liquid volatile solvent evaporating from a capillary or deep pool into an inert, insoluble gas blanket (e.g., liquid benzene or water evaporating into dry air).
  2. Gas Absorption / Scrubbing: Absorption of a highly soluble gas (e.g., ammonia or hydrogen chloride) from an insoluble carrier gas (air or methane) into an aqueous wash stream. The carrier gas does not dissolve (NB=0N_B = 0).
  3. Catalytic Surface Reactions with Non-Equimolar Stoichiometry: E.g., 2A→B2A \to B or a cracking reaction where species molar fluxes differ.

Derivation of Stagnant-B Flux and the Stefan Drift

Setting NB=0N_B = 0 in the general flux equation:

NA=yANA−DABRTdpAdzN_A = y_A N_A - \frac{D_{AB}}{R T} \frac{dp_A}{dz}

Rearranging to isolate NAN_A:

NA(1−yA)=−DABRTdpAdzN_A (1 - y_A) = -\frac{D_{AB}}{R T} \frac{dp_A}{dz}

Recognizing that in a binary gas mixture yA=pA/Py_A = p_A / P, the factor (1−yA)=(P−pA)/P=pB/P(1 - y_A) = (P - p_A)/P = p_B / P:

NA(pBP)=−DABRTdpAdzN_A \left( \frac{p_B}{P} \right) = -\frac{D_{AB}}{R T} \frac{dp_A}{dz}

Because total pressure is uniform (P=pA+pB=constantP = p_A + p_B = \text{constant}), differentiating gives dpA=−dpBdp_A = -dp_B:

NA(pBP)=DABRTdpBdzN_A \left( \frac{p_B}{P} \right) = \frac{D_{AB}}{R T} \frac{dp_B}{dz}

Separating variables across the diffusion path length from z=0z = 0 (where pA=pA1,pB=pB1p_A = p_{A1}, p_B = p_{B1}) to z=δz = \delta (where pA=pA2,pB=pB2p_A = p_{A2}, p_B = p_{B2}):

∫0δNAdz=DABPRT∫pB1pB2dpBpB\int_0^\delta N_A dz = \frac{D_{AB} P}{R T} \int_{p_{B1}}^{p_{B2}} \frac{dp_B}{p_B} NAδ=DABPRTln⁡(pB2pB1)=DABPRTln⁡(P−pA2P−pA1)N_A \delta = \frac{D_{AB} P}{R T} \ln\left( \frac{p_{B2}}{p_{B1}} \right) = \frac{D_{AB} P}{R T} \ln\left( \frac{P - p_{A2}}{P - p_{A1}} \right) NA=DABPRTzln⁡(P−pA2P−pA1)\mathbf{N_A = \frac{D_{AB} P}{R T z} \ln\left( \frac{P - p_{A2}}{P - p_{A1}} \right)}

The Log-Mean Partial Pressure of the Stagnant Gas (pB,lmp_{B,lm})

To cast the stagnant diffusion equation into a form that directly parallels EMCD, we introduce the log-mean partial pressure of the non-diffusing component BB:

pB,lm=pB2−pB1ln⁡(pB2/pB1)p_{B,lm} = \frac{p_{B2} - p_{B1}}{\ln(p_{B2} / p_{B1})}

Since pB2−pB1=(P−pA2)−(P−pA1)=pA1−pA2p_{B2} - p_{B1} = (P - p_{A2}) - (P - p_{A1}) = p_{A1} - p_{A2}, solving for the logarithmic term gives:

ln⁡(pB2pB1)=pA1−pA2pB,lm\ln\left( \frac{p_{B2}}{p_{B1}} \right) = \frac{p_{A1} - p_{A2}}{p_{B,lm}}

Substituting this identity back into the flux equation yields the classical engineering expression:

NA=DABPRTzpB,lm(pA1−pA2)=CDABz(PpB,lm)(yA1−yA2)\mathbf{N_A = \frac{D_{AB} P}{R T z p_{B,lm}} (p_{A1} - p_{A2}) = \frac{C D_{AB}}{z} \left( \frac{P}{p_{B,lm}} \right) (y_{A1} - y_{A2})}

The Drift Enhancement Multiplier (P/pB,lmP / p_{B,lm})

Comparing the two fundamental flux expressions for an identical partial pressure driving force (pA1−pA2)(p_{A1} - p_{A2}):

NA,stagnantNA,EMCD=PpB,lm\frac{N_{A,\text{stagnant}}}{N_{A,\text{EMCD}}} = \frac{P}{p_{B,lm}}

Because pB,lmp_{B,lm} represents the average partial pressure of component BB, and since pB<Pp_B < P, the ratio P/pB,lmP / p_{B,lm} is always strictly greater than 1.01.0.

  • For dilute systems where yA≪1y_A \ll 1 (e.g., yA<0.05y_A < 0.05), pB≈Pp_B \approx P, so P/pB,lm≈1.0P / p_{B,lm} \approx 1.0, and the stagnant flux equation converges to the EMCD equation.
  • For concentrated systems where yAy_A is large, the Stefan bulk flow carries substantial solute toward the boundary, significantly amplifying the net flux.

Non-Linear Concentration Profile in Stagnant Media

Unlike EMCD, the concentration profile for diffusion through stagnant BB is non-linear (exponential) due to convective bulk drag:

P−pA(z)P−pA1=pB(z)pB1=(pB2pB1)z/δ\frac{P - p_A(z)}{P - p_{A1}} = \frac{p_B(z)}{p_{B1}} = \left( \frac{p_{B2}}{p_{B1}} \right)^{z / \delta}
   Partial Pressure (p_A) ^
                      p_A1 |* 
                           |  ` . 
                           |      ` .  <--- Concave-Up Profile (Stagnant B)
                           |          ` .
                      p_A2 |_____________*____
                           0                 z (Distance)

4. Transient Molecular Diffusion & Fick's Second Law

When concentration changes with respect to both position and time, species conservation in a stationary medium with constant DABD_{AB} is governed by Fick's Second Law:

∂CA∂t=DAB∂2CA∂z2\frac{\partial C_A}{\partial t} = D_{AB} \frac{\partial^2 C_A}{\partial z^2}

Semi-Infinite Medium Solution

Consider a semi-infinite liquid or solid medium initially at uniform concentration CA0C_{A0}. At t=0t = 0, the surface at z=0z = 0 is suddenly exposed to a constant surface concentration CAsC_{As}. The boundary and initial conditions are:

  • CA(z,0)=CA0C_A(z, 0) = C_{A0} for z≥0z \ge 0
  • CA(0,t)=CAsC_A(0, t) = C_{As} for t>0t > 0
  • CA(∞,t)=CA0C_A(\infty, t) = C_{A0} for t>0t > 0

The analytical solution is formulated using the complementary error function (erfc\text{erfc}):

CA(z,t)−CA0CAs−CA0=erfc(z2DABt)=1−erf(z2DABt)\frac{C_A(z, t) - C_{A0}}{C_{As} - C_{A0}} = \text{erfc}\left( \frac{z}{2 \sqrt{D_{AB} t}} \right) = 1 - \text{erf}\left( \frac{z}{2 \sqrt{D_{AB} t}} \right)

Instantaneous Surface Molar Flux

Evaluating the flux at the interface (z=0z = 0) using Fick's first law:

NA(0,t)=−DAB∂CA∂z∣z=0=DABπt(CAs−CA0)N_A(0, t) = -D_{AB} \left. \frac{\partial C_A}{\partial z} \right|_{z=0} = \sqrt{\frac{D_{AB}}{\pi t}} (C_{As} - C_{A0})

Note

Significance for Mass Transfer Theories:
The time-dependent decay of surface flux as t−1/2t^{-1/2} forms the mathematical foundation of Higbie's Penetration Theory and Danckwerts' Surface Renewal Theory, where turbulent eddies expose fresh liquid elements to a gas interface for brief contact times.


5. Estimation of Diffusivity in Gases, Liquids, and Porous Media

1. Fuller-Schettler-Giddings (FSG) Correlation for Binary Gases

For low-pressure binary gas mixtures (P<10 barP < 10\text{ bar}), the semi-empirical Fuller-Schettler-Giddings (FSG) method provides superior accuracy (typical error <5%< 5\%):

DAB=1.013×10−7⋅T1.75(1MA+1MB)0.5P[(∑v)A1/3+(∑v)B1/3]2D_{AB} = \frac{1.013 \times 10^{-7} \cdot T^{1.75} \left( \frac{1}{M_A} + \frac{1}{M_B} \right)^{0.5}}{P \left[ \left(\sum v\right)_A^{1/3} + \left(\sum v\right)_B^{1/3} \right]^2}

Where:

  • DABD_{AB} = binary gas diffusivity (m2/s\text{m}^2/\text{s}).
  • TT = absolute temperature (K\text{K}).
  • PP = absolute pressure (bar\text{bar}).
  • MA,MBM_A, M_B = molecular weights (g/mol\text{g/mol}).
  • ∑v\sum v = sum of atomic diffusion volumes (e.g., C=15.9,H=2.31,O=6.11,N=4.54,Air=19.7\text{C} = 15.9, \text{H} = 2.31, \text{O} = 6.11, \text{N} = 4.54, \text{Air} = 19.7).

Scaling Relations for Gases:

DAB∝T1.75P  ⟹  DAB(T2,P2)=DAB(T1,P1)(T2T1)1.75(P1P2)D_{AB} \propto \frac{T^{1.75}}{P} \implies D_{AB}(T_2, P_2) = D_{AB}(T_1, P_1) \left( \frac{T_2}{T_1} \right)^{1.75} \left( \frac{P_1}{P_2} \right)

2. Wilke-Chang Correlation for Dilute Liquid Solutions

Liquid diffusion is constrained by molecular packing and solvent viscosity. The Wilke-Chang correlation applies to small solute molecules (AA) diffusing through dilute liquid solvent (BB):

DAB=7.4×10−8⋅(ϕMB)0.5⋅TμB⋅VA0.6D_{AB} = \frac{7.4 \times 10^{-8} \cdot (\phi M_B)^{0.5} \cdot T}{\mu_B \cdot V_A^{0.6}}

Where:

  • DABD_{AB} = liquid diffusivity (cm2/s\text{cm}^2/\text{s}; multiply by 10−410^{-4} to convert to m2/s\text{m}^2/\text{s}).
  • ϕ\phi = solvent association factor:
    • Water: ϕ=2.6\phi = 2.6
    • Methanol: ϕ=1.9\phi = 1.9
    • Ethanol: ϕ=1.5\phi = 1.5
    • Unassociated solvents (benzene, hexane, toluene, diethyl ether): ϕ=1.0\phi = 1.0
  • MBM_B = molecular weight of solvent (g/mol\text{g/mol}).
  • TT = absolute temperature (K\text{K}).
  • μB\mu_B = dynamic viscosity of solvent (cP\text{cP}; 1 cP=10−3 Pa⋅s=1 mPa⋅s1\text{ cP} = 10^{-3}\text{ Pa}\cdot\text{s} = 1\text{ mPa}\cdot\text{s}).
  • VAV_A = molar volume of solute at its normal boiling point (cm3/mol\text{cm}^3/\text{mol}).

Scaling Relations for Liquids: Because liquids are essentially incompressible, liquid diffusivity is practically independent of pressure at industrial pressures (<50 bar< 50\text{ bar}). Temperature scaling depends heavily on solvent viscosity:

DAB∝TμB(T)  ⟹  DAB(T2)=DAB(T1)(T2T1)(μB(T1)μB(T2))D_{AB} \propto \frac{T}{\mu_B(T)} \implies D_{AB}(T_2) = D_{AB}(T_1) \left( \frac{T_2}{T_1} \right) \left( \frac{\mu_B(T_1)}{\mu_B(T_2)} \right)

3. Knudsen Diffusion in Porous Solids

When gas diffusion occurs within micro-porous catalyst pellets or zeolites where pore diameter (dpored_{pore}) is smaller than the molecular mean free path (λ\lambda):

λ=kBT2πdmol2P\lambda = \frac{k_B T}{\sqrt{2} \pi d_{mol}^2 P}

The Knudsen number is defined as Kn=λ/dporeKn = \lambda / d_{pore}:

  • Kn<0.01Kn < 0.01: Fickian molecular bulk diffusion dominates; collisions occur between gas molecules.
  • 0.01≤Kn≤100.01 \le Kn \le 10: Transition regime; both pore wall collisions and intermolecular collisions matter.
  • Kn>10Kn > 10: Knudsen diffusion dominates; molecules collide almost exclusively with pore walls.

The Knudsen diffusivity (DK,AD_{K,A}) is given by kinetic theory:

DK,A=dpore38RTπMA=48.5⋅dporeTMAD_{K,A} = \frac{d_{pore}}{3} \sqrt{\frac{8 R T}{\pi M_A}} = 48.5 \cdot d_{pore} \sqrt{\frac{T}{M_A}}

Tip

Knudsen Pressure Independence:
Notice that PP does not appear anywhere in the Knudsen diffusivity equation! In the pure Knudsen regime, diffusivity is completely independent of total system pressure and scales strictly as T0.5MA−0.5T^{0.5} M_A^{-0.5}. In the transition regime, the Bosanquet formula combines bulk and Knudsen resistances in series: 1Deff=1DAB+1DK,A\frac{1}{D_{eff}} = \frac{1}{D_{AB}} + \frac{1}{D_{K,A}}


6. Summary Comparison Table: Diffusion Regimes and Transport Equations

Transport RegimeGoverning Flux EquationNet Bulk Drift (v∗v^*)Concentration ProfilePressure DependenceTemperature DependenceTypical Diffusivity Range
Equimolar Counterdiffusion (EMCD)NA=DABRTz(pA1−pA2)N_A = \frac{D_{AB}}{R T z} (p_{A1} - p_{A2})v∗=0v^* = 0 (NB=−NAN_B = -N_A)Strictly linear across filmDAB∝1/PD_{AB} \propto 1/P; NAN_A independent of PP for fixed ΔpA\Delta p_ADAB∝T1.75D_{AB} \propto T^{1.75}10−5−10−4 m2/s10^{-5} - 10^{-4}\text{ m}^2/\text{s} (Gases)
Diffusion of A in Stagnant BNA=DABPRTzpB,lm(pA1−pA2)N_A = \frac{D_{AB} P}{R T z p_{B,lm}} (p_{A1} - p_{A2})v∗=yANA/C>0v^* = y_A N_A / C > 0 (Stefan drift)Non-linear (concave upward)DAB∝1/PD_{AB} \propto 1/P; NA∝PN_A \propto P via P/pB,lmP/p_{B,lm} enhancementDAB∝T1.75D_{AB} \propto T^{1.75}10−5−10−4 m2/s10^{-5} - 10^{-4}\text{ m}^2/\text{s} (Gases)
Liquid-Phase Molecular DiffusionNA=CDABz(xA1−xA2)N_A = \frac{C D_{AB}}{z} (x_{A1} - x_{A2})Variable; negligible for dilute solutesApproximately linearPractically independent of PP (<50 bar<50\text{ bar})DAB∝T/μBD_{AB} \propto T / \mu_B10−10−10−9 m2/s10^{-10} - 10^{-9}\text{ m}^2/\text{s} (Liquids)
Knudsen Diffusion (Porous Media)NA=DK,ARTz(pA1−pA2)N_A = \frac{D_{K,A}}{R T z} (p_{A1} - p_{A2})NegligibleLinear along pore axisIndependent of PP (DK∝P0D_K \propto P^0)DK∝T0.5D_{K} \propto T^{0.5}10−7−10−5 m2/s10^{-7} - 10^{-5}\text{ m}^2/\text{s} (Porous solids)

7. Comprehensive Worked Numerical Example: Stefan Tube Evaporator Rating

Problem Statement

A chemical plant storage tank vent incorporates a vertical Stefan tube apparatus to quantify solvent evaporation losses. Liquid benzene (AA, C6H6\text{C}_6\text{H}_6, MA=78.11 g/molM_A = 78.11\text{ g/mol}) is maintained at the bottom of a vertical tube at a constant temperature of T=298.15 KT = 298.15\text{ K} (25.0∘C25.0^\circ\text{C}) and an ambient total pressure of P=1.00 atm=101.325 kPaP = 1.00\text{ atm} = 101.325\text{ kPa}.

The distance from the liquid benzene meniscus to the open top of the tube is fixed at z=0.150 mz = 0.150\text{ m} (15.0 cm15.0\text{ cm}). Dry air (BB, insoluble in liquid benzene) flows continuously across the top of the tube at high velocity such that the partial pressure of benzene at the tube exit is effectively zero.

Given Physical Data at 25.0∘C25.0^\circ\text{C}:

  • Vapor pressure of benzene: PA∗=100.0 mmHg=13.332 kPa=0.13158 atmP_A^* = 100.0\text{ mmHg} = 13.332\text{ kPa} = 0.13158\text{ atm}.
  • Binary gas diffusivity of benzene in air: DAB=8.80×10−6 m2/sD_{AB} = 8.80 \times 10^{-6}\text{ m}^2/\text{s}.
  • Universal gas constant: R=8.31446 J/(mol⋅K)=8.31446 Pa⋅m3/(mol⋅K)R = 8.31446\text{ J/(mol}\cdot\text{K)} = 8.31446\text{ Pa}\cdot\text{m}^3/(\text{mol}\cdot\text{K}).

Calculate:

  1. The partial pressures of air at the liquid interface (pB1p_{B1}) and at the tube exit (pB2p_{B2}).
  2. The log-mean partial pressure of air (pB,lmp_{B,lm}) and the Stefan drift enhancement factor (P/pB,lmP / p_{B,lm}).
  3. The steady-state evaporative molar flux of benzene (NAN_A) in mol/(m2⋅s)\text{mol/(m}^2\cdot\text{s)}.
  4. The molar flux that would occur if equimolar counterdiffusion prevailed (NA,EMCDN_{A,\text{EMCD}}), and the percentage increase attributable to bulk drift.
  5. The areal mass loss rate of benzene in kg/(m2⋅hr)\text{kg/(m}^2\cdot\text{hr)}.

Step 1: Boundary Partial Pressures

At the liquid meniscus (z=0z = 0):

  • Benzene is in thermodynamic phase equilibrium with its pure liquid: pA1=PA∗=13,332.2 Pa=0.13158 atmp_{A1} = P_A^* = 13,332.2\text{ Pa} = 0.13158\text{ atm}
  • Air partial pressure is determined by Dalton's Law: pB1=P−pA1=101,325 Pa−13,332.2 Pa=87,992.8 Pa=0.86842 atmp_{B1} = P - p_{A1} = 101,325\text{ Pa} - 13,332.2\text{ Pa} = \mathbf{87,992.8\text{ Pa}} = 0.86842\text{ atm}

At the open tube exit (z=0.150 mz = 0.150\text{ m}):

  • Air sweep strips benzene completely: pA2=0.0 Pap_{A2} = 0.0\text{ Pa}
  • Air partial pressure equals total pressure: pB2=P−pA2=101,325.0 Pa=1.0000 atmp_{B2} = P - p_{A2} = \mathbf{101,325.0\text{ Pa}} = 1.0000\text{ atm}

Step 2: Log-Mean Partial Pressure and Stefan Drift Factor

Evaluating the logarithmic mean of the stagnant carrier gas:

pB,lm=pB2−pB1ln⁡(pB2/pB1)=101,325.0−87,992.8ln⁡(101,325.0/87,992.8)p_{B,lm} = \frac{p_{B2} - p_{B1}}{\ln(p_{B2} / p_{B1})} = \frac{101,325.0 - 87,992.8}{\ln(101,325.0 / 87,992.8)} pB2pB1=101,325.087,992.8=1.151515\frac{p_{B2}}{p_{B1}} = \frac{101,325.0}{87,992.8} = 1.151515 ln⁡(1.151515)=0.141072\ln(1.151515) = 0.141072 pB,lm=13,332.2 Pa0.141072=94,506.5 Pa=0.93271 atmp_{B,lm} = \frac{13,332.2\text{ Pa}}{0.141072} = \mathbf{94,506.5\text{ Pa}} = 0.93271\text{ atm}

The Stefan drift enhancement factor is:

PpB,lm=101,325.0 Pa94,506.5 Pa=1.07215≈1.072\frac{P}{p_{B,lm}} = \frac{101,325.0\text{ Pa}}{94,506.5\text{ Pa}} = \mathbf{1.07215} \approx \mathbf{1.072}

Bulk convective flow enhances diffusion by 7.22%7.22\% above pure molecular diffusion.


Step 3: Evaporative Molar Flux Calculation

Using the stagnant diffusion formula:

NA=DABPRTzpB,lm(pA1−pA2)N_A = \frac{D_{AB} P}{R T z p_{B,lm}} (p_{A1} - p_{A2})

Evaluate the product RTzR T z:

RTz=(8.31446 Pa⋅m3/(mol⋅K))×(298.15 K)×(0.150 m)R T z = (8.31446\text{ Pa}\cdot\text{m}^3/(\text{mol}\cdot\text{K})) \times (298.15\text{ K}) \times (0.150\text{ m}) RTz=2,478.96×0.150=371.843 Pa⋅m4/molR T z = 2,478.96 \times 0.150 = 371.843\text{ Pa}\cdot\text{m}^4/\text{mol}

Substitute all values in consistent SI units:

NA=(8.80×10−6 m2/s)×(101,325 Pa)(371.843 Pa⋅m4/mol)×(94,506.5 Pa)×(13,332.2 Pa−0)N_A = \frac{(8.80 \times 10^{-6}\text{ m}^2/\text{s}) \times (101,325\text{ Pa})}{(371.843\text{ Pa}\cdot\text{m}^4/\text{mol}) \times (94,506.5\text{ Pa})} \times (13,332.2\text{ Pa} - 0) NA=0.89166(371.843)×(94,506.5)×13,332.2=0.89166×13,332.235,141,600N_A = \frac{0.89166}{(371.843) \times (94,506.5)} \times 13,332.2 = \frac{0.89166 \times 13,332.2}{35,141,600} NA=11,887.835,141,600=3.3828×10−4 mol/(m2⋅s)=0.3383 mmol/(m2⋅s)N_A = \frac{11,887.8}{35,141,600} = \mathbf{3.3828 \times 10^{-4}\text{ mol/(m}^2\cdot\text{s)}} = \mathbf{0.3383\text{ mmol/(m}^2\cdot\text{s)}}

Step 4: Comparison to Equimolar Counterdiffusion (EMCD)

If equimolar counterdiffusion were incorrectly assumed:

NA,EMCD=DABRTz(pA1−pA2)=8.80×10−6371.843×13,332.2=3.1552×10−4 mol/(m2⋅s)N_{A,\text{EMCD}} = \frac{D_{AB}}{R T z} (p_{A1} - p_{A2}) = \frac{8.80 \times 10^{-6}}{371.843} \times 13,332.2 = \mathbf{3.1552 \times 10^{-4}\text{ mol/(m}^2\cdot\text{s)}}

Ratio verification:

NANA,EMCD=3.3828×10−43.1552×10−4=1.0721=PpB,lm\frac{N_A}{N_{A,\text{EMCD}}} = \frac{3.3828 \times 10^{-4}}{3.1552 \times 10^{-4}} = \mathbf{1.0721} = \frac{P}{p_{B,lm}}

Step 5: Areal Mass Loss Rate of Benzene

Convert molar flux to hourly mass emission rate per unit area:

m˙A′′=NA⋅MA=(3.3828×10−4 mol/(m2⋅s))×(78.11 g/mol)=0.026423 g/(m2⋅s)\dot{m}_A'' = N_A \cdot M_A = (3.3828 \times 10^{-4}\text{ mol/(m}^2\cdot\text{s)}) \times (78.11\text{ g/mol}) = 0.026423\text{ g/(m}^2\cdot\text{s)} m˙A′′=0.026423 g/(m2⋅s)×3,600 s1 hr×1 kg1,000 g=0.09512 kg/(m2⋅hr)\dot{m}_A'' = 0.026423\text{ g/(m}^2\cdot\text{s)} \times \frac{3,600\text{ s}}{1\text{ hr}} \times \frac{1\text{ kg}}{1,000\text{ g}} = \mathbf{0.09512\text{ kg/(m}^2\cdot\text{hr)}}

8. Critical NCEES PE Exam Traps & Pitfalls

Trap 1: Omitting the P/pB,lmP / p_{B,lm} Factor in Evaporator and Scrubber Sizing
Whenever an exam question describes evaporation of a liquid into a gas blanket or absorption of a solute from an inert carrier (such as air, N2\text{N}_2, or methane), the non-volatile/insoluble gas is stagnant (NB=0N_B = 0). Neglecting the log-mean factor P/pB,lmP / p_{B,lm} underpredicts mass flux by 5%5\% to 50%50\% depending on solute concentration. Always check whether NB=−NAN_B = -N_A (EMCD) or NB=0N_B = 0 (stagnant BB).

Trap 2: Incorrect Temperature and Pressure Scaling of Diffusivities
Candidates frequently confuse the scaling of gas versus liquid diffusivities:

  • Gas Diffusivity: DAB∝T1.75/PD_{AB} \propto T^{1.75} / P. Doubling the absolute pressure halves the gas diffusivity (DAB∝1/PD_{AB} \propto 1/P).
  • Liquid Diffusivity: DAB∝T/μBD_{AB} \propto T / \mu_B. Moderately increasing total pressure from 1 bar1\text{ bar} to 10 bar10\text{ bar} has zero effect on liquid diffusivity because liquids are incompressible, but temperature changes dramatically alter diffusivity via solvent viscosity μ(T)\mu(T).

Trap 3: Confusing Diffusive Flux (JA∗J_A^*) with Total Absolute Flux (NAN_A)
JA∗J_A^* is defined relative to the mixture's moving molar-average velocity (v∗v^*), whereas NAN_A is measured relative to stationary apparatus walls. On the PE exam, equipment mass balances always require the absolute flux NAN_A. The two are identical only in Equimolar Counterdiffusion (NA+NB=0N_A + N_B = 0) or in infinitely dilute solutions (xA→0x_A \to 0).

Test Your Knowledge

A Stefan tube is used to measure the experimental diffusivity of acetone vapor (species A) in dry air (species B) at 300 K and 101.3 kPa (1.00 atm). The vapor pressure of acetone at 300 K is 32.0 kPa (0.316 atm). Pure air sweeps across the top of the tube maintaining the exit acetone partial pressure at zero. The vertical distance from the acetone meniscus to the tube exit is 10.0 cm (0.100 m). The measured steady-state evaporation flux of acetone is 1.25 * 10^-3 mol/(m²*s). What is the experimental binary gas diffusivity D_AB of acetone in air, and what is the Stefan drift enhancement factor (P / P_B,lm)?

A

D_AB = 8.11 * 10^-6 m²/s, drift factor = 1.20

B

D_AB = 9.74 * 10^-6 m²/s, drift factor = 1.00

C

D_AB = 6.75 * 10^-6 m²/s, drift factor = 1.46

D

D_AB = 1.21 * 10^-5 m²/s, drift factor = 0.83

Test Your Knowledge

According to the Fuller-Schettler-Giddings (FSG) correlation for binary gas mixtures and the Wilke-Chang correlation for dilute liquid solutions, how do the respective molecular diffusivities scale with absolute temperature T, system pressure P, and solvent viscosity mu?

A

Gas: D_AB scales as T^0.5 / P; Liquid: D_AB scales as T / P

B

Gas: D_AB scales as T^1.5 * P; Liquid: D_AB scales as T^0.5 / mu

C

Gas: D_AB scales as T^1.75 / P; Liquid: D_AB scales as T / mu (practically independent of moderate pressure)

D

Gas: D_AB scales as T^2.0 / P^2; Liquid: D_AB scales as mu / T

Test Your Knowledge

A chemical process engineer evaluates mass transport of ethylene (molecular weight 28.05 g/mol) inside a porous alumina catalyst pellet with an average cylindrical pore diameter of d_pore = 4.0 nm at 500 K and 1.0 bar. The molecular mean free path of ethylene under these conditions is lambda = 80 nm. Which diffusion mechanism dominates within the catalyst pores, and how will the effective diffusion coefficient change if the reactor total pressure is doubled to 2.0 bar at constant temperature?

A

Molecular bulk diffusion dominates; doubling pressure will halve the effective diffusivity (D_eff proportional to 1/P)

B

Knudsen diffusion dominates (Knudsen number Kn = lambda / d_pore = 20 > 10); doubling pressure has virtually no effect on the effective pore diffusivity because collisions with pore walls completely dominate over intermolecular collisions

C

Surface diffusion dominates; doubling pressure will double the effective diffusivity due to higher monolayer surface coverage

D

Transition diffusion dominates equally; doubling pressure will reduce the diffusivity by exactly 29.3% according to the Bosanquet equation

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